1341 Chapters
Medium 9781601322470

Session - Knowledge and Information Representation, Processing, Engineering, Acquisition Methods and Applications

Hamid R. Arabnia; David de la Fuente; Elena B. Kozerenko; Peter M. LaMonica; Raymond A. Liuzzi; Todd Waskiewicz; George Jandieri; Ashu M. G. Solo; Ivan Nunes da Silva; Fernando G. Tinetti; and Fadi Thabtah (Editors) Mercury Learning and Information PDF
Medium 9781601322609

The Impact of Non-Functional Attributes on the Analysis Operations of Feature Models

Hamid R. Arabnia; Leonidas Deligiannidis; George Jandieri; Vince Schmidt; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

306

Int'l Conf. Software Eng. Research and Practice | SERP'13 |

The Impact of Non-Functional Attributes on the Analysis

Operations of Feature Models

I. Achour1, L. Labed2, and H. Ben Ghazela1

Computer Science Departement, Manouba University/ ENSI/ Lab. RIADI-GDL, Manouba, Tunisia

2

Computer Science Departement, Tunis University/ ISG/ Lab. RIADI-GDL, Tunis, Tunisia

1

Abstract - The functional aspect of a system is very important. In fact, it defines different features of the system, but it does not negate the reality of the non-functional aspects of it and that has an impact on this functional aspect. This aspect has been largely treated with classical systems but not enough with the product lines.

So we had the idea to study the impact of non-functional attributes on the analysis operations of feature models.

In this work, we have resumed analysis operations of feature models listed in the literature. Moreover, we studied the effect of adding the non-functional attributes on these operations by giving examples. So this has enabled us to emphasize the presence of three types of constraints namely constraint value, constraint attribute-attribute and constraint featureattribute.

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Medium 9781601322616

RESTful API in life science research systems and data integration challenges: linking metabolic pathway, metabolic network, gene and publication.

Hamid R. Arabnia; Leonidas Deligiannidis; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

Int'l Conf. Semantic Web and Web Services | SWWS'13 |

67

RESTful API in life science research systems and data integration challenges: linking metabolic pathway, metabolic network, gene and publication.

Etienne Z. Gnimpieba, Brent S. Anderson, Carol M. Lushbough

Computer Science Department, University of South Dakota, 414 E. Clark St. Vermillion, SD 57069, USA,

{Etienne.gnimpieba; Brent.Anderson ; Carol.Lushbough}@usd.edu

Corresponding author: Etienne.gnimpieba@usd.edu, +1 605 223 0383.

~o~

Abstract: Translational science research development requires life sciences researchers to update their concept on systems integration and data integration. The

RESTful API has proven to be very useful in integrating the massive amount of data and tools. This work presents an approach for biological systems analysis based on the semantic web and RESTful API. The integration of this approach in the BioExtract Server engine as a Workflow

Management System (WMS) allows us to apply our work to the linking of several biological levels (metabolic pathway, metabolic network model, genes and publications).

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Medium 9781601322555

Comparison of Different Applications using Proactive, Reactive Manet Routing Protocols Under Different Application Modes, Nodes and Speed

Hamid R. Arabnia, Leonidas Deligiannidis, George Jandieri, Ashu M. G. Solo, and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

164

Int'l Conf. Modeling, Sim. and Vis. Methods | MSV'13 |

Comparison of Different Applications using Proactive,

Reactive Manet Routing Protocols Under Different

Application Modes, Nodes and Speed

S. Nijem1 and N. Kafri2

1

Department of Computer Science, Alquds University, Jerusalem, Palestine

Abstract - Mobile adhoc network (Manet) is a collection of devices that work together to send and receive information in a wireless network, without using any centralized management; every device acts as a router, by sending and receiving packets while the node moves freely and can set itself in any adhoc network. Adhoc uses routing protocol to move packets from the source to the destination. The quality of service of routing in ad hoc networks is an important and complicated issue with a changing topology. In this work we have measured the performance of routing protocols, proactive, reactive using different applications such as ftp, http and database and determined the best protocol to be used with the application, under various network size, speed and modes .

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Medium 9781601322418

Livestock Management System

Hamid R. Arabnia; Leonidas Deligiannidis; George Jandieri; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

Int'l Conf. Embedded Systems and Applications | ESA'13 |

3

Livestock Management System

James Foulkes1, Peter Tucker2, Mariflor Caronan3, Rebecca Curtis4, Leslie G. Parker2,

Chris Farnell2, Brett Sparkman2, Guoqing Zhou2, Scott C. Smith2, and Jingxian Wu2

Department of Electrical Engineering, Rose-Hulman Institute of Technology, Terre Haute, IN1

Department of Electrical Engineering, University of Arkansas, Fayetteville, AR 2

Department of Electrical Engineering, Northern Arizona University, Flagstaff, AZ3

Department of Electrical & Computer Engineering, Missouri University of Science and Technology, Rolla, MO4 foulkejw@rose-hulman.edu, p.n.tucker@gmail.com, mdc259@nau.edu, rcr2f@mst.edu, lgparker@uark.edu, cfarnell@uark.edu, bsparkma@uark.edu, gzhou@uark.edu, smithsco@uark.edu, wuj@uark.edu

Abstract—With the rising demand of the already large cattle industry, new techniques are being employed to aid in the tracking and monitoring of cattle herds. The wireless monitoring system described in this paper sets forth the framework for a large scale monitoring system to aid in the health and wellbeing of such herds. The system employs individual ear tags on each cow that monitored important vital signs such as core temperature, heart rate, and blood oxygen levels. Static access points were used in the network to continually track individual cattle movement as well as relay cattle health data back to the farmer’s computer. This low power wireless system was successfully constructed and tested with overall favorable results.

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